Triple
T15201970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunday in the Park with George |
E363290
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Dot |
E696550
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Dot | Statement: [Sunday in the Park with George, mainCharacter, Dot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dot Context triple: [Sunday in the Park with George, mainCharacter, Dot]
-
A.
Dot
Dot is a character or entity connected to Francis, likely appearing in the same narrative, project, or creative work.
-
B.
Dot
Dot is the nickname of Dot Cotton, a long-running and iconic character from the British soap opera "EastEnders."
-
C.
Dot
chosen
Dot is a central character in Stephen Sondheim and James Lapine’s musical "Sunday in the Park with George," serving as Georges Seurat’s muse and lover and embodying themes of art, sacrifice, and personal fulfillment.
-
D.
Dot
Dot is a stage play by Colman Domingo that explores family dynamics and the challenges of caring for a matriarch with dementia during the holidays.
-
E.
Dot
Dot is a short animated film created by Aardman Animations that follows a tiny girl navigating a giant, rapidly unraveling world, notable for its innovative use of stop-motion and mobile phone camera technology.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b588b88190a88e91d521acbdfe |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3390b708190b10c876c437c72c8 |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:10 a.m.